• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.239-246
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• 2020

In the medical field where artificial intelligence technology is introduced, research related to clinical decision support system(CDSS) in relation to diagnosis and prediction is actively being conducted. In particular, medical imaging-based disease diagnosis area applied AI technologies at various products. However, medical imaging data consists of inconsistent data, and it is a reality that it takes considerable time to prepare and use it for research. This paper describes a one-stop AI learning platform for converting to medical image standard R_CDM(Radiology Common Data Model) and supporting AI algorithm development research based on the dataset. To this, the focus is on linking with the existing CDM(common data model) and model the system, including the schema of the medical imaging standard model and report information for multi-center research based on DICOM(Digital Imaging and Communications in Medicine) tag information. And also, we show the execution results based on generated datasets through the AI learning platform. As a proposed platform, it is expected to be used for various image-based artificial intelligence researches.

• Korean Journal of Agricultural and Forest Meteorology
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• v.19 no.2
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• pp.62-72
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• 2017

Spatio-temporal projection of evapotranspiration over croplands would be useful for assessment of climate change impact and development of adaptation strategies in agriculture. Potential evapotranspiration (PET) and dryness index (DI) during rice growing seasons were calculated using climate change scenario data provided by the National Institute of Meteorological Research (NIMR). A data processing tool for gridded climate data files, readGrADSWrapper, was used to calculate PET and DI during the current (1986-2005) and future (2006-2100) periods. Scripts were written to implement the formulas of PET and DI in R, which is an open source statistical data analysis tool. Evapotranspiration in rice fields ($PET_{Rice}$) was also determined using R scripts. The Spatio-temporal patterns of PET differed by regions in Korean Peninsula under current and future climate conditions. Overall, PET and $PET_{Rice}$ tended to increase throughout the $21^{st}$ century. Those results suggested that region-specific water resource managements would be needed to minimize the risk of water loss in the regions where considerable increases in PET would occur under the future climate conditions. For example, a number of provinces classified as a humid region were projected to become a sub-humid region in the future. The Spatio-temporal assessment of water resources based on PET and DI would help the development of climate change adaptation strategies for rice production in the 21st century. In addition, the studies on climate change impact would be facilitated using specialized data tools, e.g., readGrADSWrapper, for geospatial analysis of climate data.

• 한국신재생에너지학회:학술대회논문집
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• 2011.11a
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• pp.154-154
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• 2011

화석연료의 가격 및 공급의 불안정과 온실가스감축 국제 규제 강화 등에 대한 대안으로 여기는 신 재생에너지는 높은 초기 투자 부담으로 인하여 관련기술의 연구개발과 보급정책 등 전과정에 걸친 정책 지원체계가 필요하다. 본 연구에서는 지열에너지를 이용하는 지열냉난방기술에 중점을 두고 이에 대한 중장기 정책 포트폴리오 작성을 위한 기술 및 정책적 접근방안을 제시하고자한다. 지열에너지의 가장 큰 특징은 기후 등에 영향을 크게 부하가 변하는 태양광, 풍력 등과 달리 일정한 부하를 유지함으로써 안정적인 에너지공급이 가능하다는 것이다. 또, 품질 측면에서도 화석연료를 이용한 기존의 연료보다 쾌적한 환경을 조성하여 고급에너지로 평가받고 있다. 반면, 설비를 갖추기 위한 천공, 히트펌프 설치 등에 큰 비용이 든다는 단점을 가지고 있다. 현재 히트펌프 제작기술은 국산화를 완료한 상태로 사실상 기술개발에 의한 큰 폭의 원가절감은 기대하기 힘든 상황이다. 하지만, 유사분야인 시스템 에어컨이 표준화 및 대량생산을 통한 시장 보급 확대로 보급단가가 하락한 것을 고려해 볼 때 이를 통한 가격하락은 어느 정도 기대해 볼 수 있을 것으로 생각된다. 에너지 외적인 측면에서 볼 때도 지열에너지의 공급은 상당한 의미를 갖는다. 건물 냉 난방용 이외에 다양한 용도의 개발을 통해 비닐하우스나 온실 등에 지열에너지를 이용할 경우 정부차원에서 농어촌에 대한 지원이 가능하다. 또, 기존의 에너지원을 조달하는데 어려움이 있는 산간, 도서지방에서는 도시지역보다 투자대비 큰 효과를 볼 수 있어 지역간 에너지 불균형 해도에도 도움이 될 수 있다. 이와같은 지열에너지의 특성에 따라 향후 발전방향을 정리해 보았다. 핵심기술인 지열 히트펌프의 산업구조와 시장 보급 확대를 통한 가격하락을 기대한다. 지역개발 및 고립지역에서 타 신 재생에너지와 함께 독립적인 전력, 냉난방 등의 완전 에너지 공급시스템을 갖출 수 있다. 또한 특수 작물 등의 고급 농수산물 생산등의 용도개발을 통해 지열에너지 공급역량을 성장시킬 수 있을 것이다. 이와 함께 중장기 비젼을 제시하기 위해 추진되어야 할 연구과제로는 시장 보급 확대에 따른 가격경쟁력 도달 가능성에 대한 연구를 통해 산업육성 방안 마련, 타 신 재생에너지기술과 복합 설치에 의한 시너지 효과 및 이에따른 초기 투자비 증가에 대한 대책, 보급 잠재량 조사, 지열시스템의 자금 조달 및 관련 정책 검토 등이 있을 수 있다.

• Environmental and Resource Economics Review
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• v.20 no.2
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• pp.309-333
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• 2011

Korea is one of the countries that propel new renewable energy industrialization actively in the context of change in this industrial structure. The previous government declared this kind of industrialization as a national goal in 2004 and the current government also supports this strategy. However, it is necessary to check whether this strategy is proper and effective. The reason is because solar, wind and fuel cells that have attracted public attention as the new growth engines cannot replace main industries yet. This paper tries to analyze the economic effects of new renewable energy industrialization by dividing them into production effect and job creation effect. The result of this analysis shows that solar energy is not effective at all, while wind energy is very effective in both production and job creation. In conclusion, this paper suggests that the government has to propel new renewable energy industrialization after consideration of these kinds of economic effects.

• Ecology and Resilient Infrastructure
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• v.6 no.4
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• pp.236-242
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• 2019

In this study, we developed the system that can collect and store environmental disaster data into the database and use it for environmental disaster management by converting structured and unstructured documents such as images into electronic documents. In the 4th Industrial Revolution, various intelligent technologies have been developed in many fields. Environmental disaster information is one of important elements of disaster cycle. Environment disaster information management refers to the act of managing and processing electronic data about disaster cycle. However, these information are mainly managed in the structured and unstructured form of reports. It is necessary to manage unstructured data for disaster information. In this paper, the intelligent generation approach is used to convert handout into electronic documents. Following that, the converted disaster data is organized into the disaster code system as disaster information. Those data are stored into the disaster database system. These converted structured data is managed in a standardized disaster information form connected with the disaster code system. The disaster code system is covered that the structured information is stored and retrieve on entire disaster cycle. The expected effect of this research will be able to apply it to smart environmental disaster management and decision making by combining artificial intelligence technologies and historical big data.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.12
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• pp.301-312
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• 2018

In industrial wireless sensor networks, the continuous object detection such as fire or toxic gas detection is one of major applications. A continuous object occurs at a specific point and then diffuses over a wide area. Therefore, many studies have focused on accurately detecting a continuous object and delivering data to a static sink with an energy-efficient way. Recently, some applications such as fire suppression require mobile sinks to provide real-time response. However, the sink mobility support in continuous object detection brings challenging issues. The existing approaches supporting sink mobility are designed for individual object detection, so they establish one-to-one communication between a source and a mobile sink for location update. But these approaches are not appropriate for a continuous object detection since a mobile sink should establish one-to-many communication with all sources. The one-to-many communication increases energy consumption and thus shortens the network lifetime. In this paper, we propose the origin-centric communication scheme to support sink mobility in a continuous object detection. Simulation results verify that the proposed scheme surpasses all the other work in terms of energy consumption.

• The Korean Journal of Air & Space Law and Policy
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• v.30 no.1
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• pp.181-206
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• 2015

Due to the increased leisure time, national income levels, and increasing the desire for new experience, interest causes increasing demand for recent aviation leisure sport. This leads to the need for a competitive foundation of the expansion of aviation leisure sports market potential. In 2014, the MOLIT(Ministry of Land, Infrastructure and Transport) created definition of sport and recreational aviation industry in the Aviation Act. The most significant change in Aviation Act related to sport and recreational aviation, it allows easier access for those wishing to participate in the joy of flight and also creating a sport and recreational aviation business market expansion. Therefore, in this paper, by analyzing the trend of foreign policy trends and domestic policies that sport and recreational aviation has been enabled, it is trying to present the activation policy proposals of sport and recreational aviation that is suitable for Korea.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.134-142
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• 2016

Main infrastructures, such as levee, dam, bridge, road, etc., are very important due to not only the means of support for social and industrial activities in normal situation but also the means of protection of life and property during disaster occurrence. In spite of this importance of infrastructures, however, any disaster management systems that actively use these infrastructures are not developed yet. Moreover, infrastructures are not usually included in emergency action plans, thus it occurs second and third impact on communities and industries due to collapsing or damage of infrastructures. Therefore, the authors in this paper analyzed previous research, SWOT, STEEP, and patents and technical journals and conducted a technology need survey ni order to understand the trend of disaster management system as well as suggest main research fields and detail research items. The results of this paper will be a foundation of developing an advanced infrastructure integrated system of maintenance and disaster mitigation and contribute our nation to have an active response system by using infrastructure.

• Journal of Gifted/Talented Education
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• v.22 no.1
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• pp.1-21
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• 2012

The objective of this study is to suggest improvement plan for invention gifted education based on the awareness of teachers and professionals who related to the invention gifted education for the expansion and development of invention gifted education through improvement of relevant problems. To this end, invention gifted education system and its operational status were analyzed, and questionnaire survey on the awareness of the development plan and satisfaction level was conducted, targeting professionals related to the invention gifted education and teachers in charge of invention gifted education classes or gifted education center. The research results are as follows. First, the level of satisfaction on the invention gifted education was greater than normal (M=3.0) in general, but in the field of 'educational materials', 'teacher training programs' and 'human and material support system of support agencies', the level of satisfaction was relatively low, which requires expansion of the support. Second, it is necessary for Korean Intellectual Property Office and Korea Invention Promotion Association to designate and establish specialized research institution to play a key role in enhancing development and efficiency of invention gifted education. As a result of the questionnaire survey, it turned out that expectation and necessity of the specialized research agency was highly recognized. In particular, demand for 'research and development of gifted education method and materials' and 'research and development of teacher training materials and implementation of teacher training' was high among the key areas of the specialized research institution. Third, teachers and professionals related to the invention gifted education responded that 'invention knowledge' in the areas of invention knowledge and thinking and 'entrepreneurship' in the area of invention attitude was somewhat low toward the question on the level of the 9 characteristics of gifted students with invention talents which current beneficiaries of invention gifted education have, which leads to conclusion that review on the model for the selection of gifted children with invention talents as well as research and development of invention gifted education program to enhance characteristics with low levels is required. If long-term development plans and initiatives are deduced based on this, an effective framework for the invention gifted education will be established in the near future. In addition, it is expected that the differentiated political visions and goals will be established in connection with master plan for the promotion of gifted education.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.243-250
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• 2004

Monitoring is used to see if a real-time system provides a service on time. Generally, monitoring for real-time focuses on investigating the current status of a real-time system. To support a stable performance of a real-time system, it should have not only a function to see the current status of real-time process but also a function to predict executions of real-time processes, however. The legacy prediction model has some limitation to apply it to a real-time monitoring. First, it performs a static prediction after a real-time process finished. Second, it needs a statistical pre-analysis before a prediction. Third, transition probability and data about clustering is not based on the current data. We propose the execution prediction model based on learning algorithm to solve these problems and apply it to real-time monitoring. This model gets rid of unnecessary pre-processing and supports a precise prediction based on current data. In addition, this supports multi-level prediction by a trend analysis of past execution data. Most of all, We designed the model to support dynamic prediction which is performed within a real-time process' execution. The results from some experiments show that the judgment accuracy is greater than 80% if the size of a training set is set to over 10, and, in the case of the multi-level prediction, that the prediction difference of the multi-level prediction is minimized if the number of execution is bigger than the size of a training set. The execution prediction model proposed in this model has some limitation that the model used the most simplest learning algorithm and that it didn't consider the multi-regional space model managing CPU, memory and I/O data. The execution prediction model based on a learning algorithm proposed in this paper is used in some areas related to real-time monitoring and control.